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IBM Business Analytics Proven Practices: IBM Cognos 10 Audit Extension
A IBM Cognos 10 SDK application that provides additional auditing, including Role Auditing, for IBM Cognos 10 BI. The version of the application is 1.1.03 and it will work with IBM Cognos 10 BI versions 10.1 and up.
Articles 09 Dec 2014
Discover and use real-world terminology with IBM Watson Content Analytics
Use linguistic analysis in IBM Watson Content Analytics (WCA) to explore domain-specific terminology, and build domain dictionaries that reflect users' "real-life" vocabulary preferences. Use these dictionaries in WCA Studio to build concept annotators.
Articles 04 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Setting Thresholds
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Installation
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Loading Metrics with IBM Tivoli Directory Integrator
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: System Metrics
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
IBM Cognos Proven Practices - System Management Methodology for IBM Cognos 10: Overview
This is part of a group of documents and examples commonly referred to as the System Management Methodology (SMM). The SMM provides information and techniques as examples of how an administrator uses the standard features of IBM Cognos Administration along with IBM Cognos Business Intelligence functionality in order to increase their own productivity and pro-actively manage IBM Cognos BI applications, users, and servers.
Articles 03 Dec 2014
Move a toy car with your mind
Learn how to extract brain wave data from the Muse wearable device to perform an action in the real world: in this case, move a toy car. The article explains how to work with the Arduino and the toy car remote control from the hardware side; and from the software side, how to work with Bluemix to create a Node.js web application to see real-time brain wave activity.
Articles 13 Nov 2014
Working with wearables and Bluemix
Wearable technology devices are becoming very popular these days. They can enhance the lives of human beings and, from a technical perspective, are big drivers of big data. This article provides a survey of several wearable devices available in the market today and how you can use Bluemix services to interact with them.
Articles 13 Nov 2014
Build an enterprise supply chain app on Bluemix
This tutorial shows how to build a Node.js app that uses cloud services on Bluemix and integrates with enterprise data and processes. Our app is a supply chain application that uses Business Rules, dashDB, and custom cloud services on Bluemix, integrated with IBM Worklight, Business Process Management (BPM), Content Management, and API Management for enterprise connectivity to corporate back-end systems.
Tutorial 07 Nov 2014
Integrate IBM Predictive Maintenance and Quality (PMQ) with ILS deviceWISE to onboard high-value asset data
High-value asset-based industries need to be aware of the performance of their components in a real-time mode. Handle future breakdowns or failures, and control the impact to your organization's financial performance. Feed data from level 2 systems and historians in real time to build this awareness and control. Learn to integrate IBM Predictive Maintenance and Quality with ILS deviceWISE to receive data from remote sources.
Tutorial 06 Nov 2014
Explore the advanced analytics platform, Part 5: Deep dive into discovery and visualization
In this article, explore a pattern for data lake exploration and learn the steps for data integration across the end-to-end data flow. Through a series of exploration use cases, the tutorial defines the characteristics of the exploration and their execution by using the pattern.
Tutorial 28 Oct 2014
IBM Business Analytics Proven Practices: Cognos BI - Dynamic Cube Security Case Studies
This document will expand on Chapter 7 - Dimensional security of the IBM Cognos Dynamic Cube Redbook and show some examples of how the various combinations of dimensional security filters can affect the view of data your users can see.
Articles 28 Oct 2014
Deploy Open Web Analytics on your website
One of the leading open source web analytics offerings is Open Web Analytics (OWA). This article provides step-by-step instructions on deploying OWA on an IBM platform as a service (PaaS) of IBM BlueMix. Web applications hosted on Bluemix, as well as those hosted outside Bluemix, can create customizable reports containing statistics on website traffic, updates to shopping carts, page views translating into purchases, and several other useful metrics.
Tutorial 21 Oct 2014
IBM Business Analytics Proven Practices: IBM SPSS Modeler - ODBC Configuration Best Practices and Troubleshooting
An overview of Open Database Connectivity (ODBC) configuration, best practices when performing these tasks, and troubleshooting techniques to assist in the resolution of common problems in this area.
Articles 14 Oct 2014
Leverage IBM Cognos on IBM Bluemix using the Embeddable Reporting service
It is easy to leverage IBM Cognos software on IBM Bluemix by using the Embeddable Reporting service. In this tutorial, get step-by-step instructions on creating, developing, and deploying an app with the Embeddable Reporting service on Bluemix from scratch.
Also available in: Chinese   Portuguese  
Tutorial 02 Oct 2014
Analytics for Hadoop on Bluemix, Part 4: Analytics for Hadoop on Bluemix: Explore data with BigSheets
Immediately analyze and review big data by using the IBM BigSheets application: a spreadsheet-like tool that can model, filter, combine, and chart data that is collected from multiple sources.
Also available in: Portuguese  
Tutorial 02 Oct 2014
Analytics for Hadoop on Bluemix, Part 3: Analytics for Hadoop on Bluemix: Load data into InfoSphere BigInsights
Load data into your InfoSphere BigInsights Hadoop environment, understand the options available to you, and quickly review the data at hand.
Also available in: Chinese   Portuguese  
Tutorial 02 Oct 2014
Analytics for Hadoop on Bluemix, Part 2: Analytics for Hadoop on Bluemix: Navigate the BigInsights web console
Use the IBM InfoSphere BigInsights web console to check the status of services, view the health of your system, and monitor the status of your big data environment.
Also available in: Chinese  
Tutorial 02 Oct 2014
In case you missed it: The top 10 Big data and analytics tutorials in 2014
Take a look at the 10 most popular pieces of Big data and analytics content in 2014, all aimed to help you learn to leverage the tools and technologies to harness and analyze data.
Articles 26 Sep 2014
Build a Big SQL app using the IBM Analytics for Hadoop Service
Build a sample application that uses the IBM Analytics for Hadoop Service, which runs on a cloud-based instance of IBM InfoSphere BigInsights Enterprise Edition, to explore social media data for global coverage of the IBM Watson brand. Query the data by using Big SQL (IBM's SQL interface to its Hadoop-based platform, InfoSphere BigInsights) and deploy a WAR file that contains a Java application that reads the data. The sample application that you create for your users can dynamically run queries on the data.
Also available in: Japanese   Portuguese  
Tutorial 26 Sep 2014
Editors' picks: Top 15 Bluemix tutorials
If you've been following developerWorks over the last few months, you've noticed how excited we are about Bluemix, IBM's open-standards cloud platform. Using Bluemix, along with IBM, third-party, and open source services, you can build, deploy, run, and manage almost any kind of application you can dream of. We've published so much content about Bluemix and its many services and runtimes that we wanted to step back and give you a look at what we think are some of the very best tutorials we've published on this exciting topic. So here it is, the Bluemix Top 15 as chosen by the developerWorks editorial team!
Also available in: Portuguese   Spanish  
Tutorial 22 Sep 2014
Improving the customer experience with IBM Tealeaf
This article illustrates the IBM Tealeaf cxReveal installation and various required configurations. The purpose is to explore IBM Tealeaf cxReveal function with the installation, configurations, enable cxReveal group, and user for Search menu (top option) into the Tealeaf portal. The configuration of Tealeaf Event Bus, Session Attributes, Events, Hit Attributes and others are described in detail.
Articles 18 Sep 2014
Process home monitoring data using the Time Series Database in Bluemix
Learn how to create, store, and analyze sensor data using a Time Series Database on Bluemix.
Also available in: Chinese  
Articles 18 Sep 2014
Analytics for Hadoop on Bluemix, Part 1: Analytics for Hadoop on Bluemix: Sign in and access the service
Sign up for a free IBM Bluemix account, log in to Bluemix, and start the Hadoop for Analytics service.
Also available in: Chinese   Portuguese  
Tutorial 18 Sep 2014
Build a Shiny application to analyze #Bluemix sentiment using the Bluemix R custom buildpack
Create a Shiny application that analyzes the popularity of entities on Twitter and performs a sentiment analysis of the tweets using R. Learn how to run R on IBM Bluemix using a custom buildpack. Customize your application to perform any kind of complex analysis on your data stored in the cloud.
Also available in: Japanese   Spanish  
Articles 11 Sep 2014
Explore the advanced analytics platform, Part 6: Dive into orchestration with a combination of SPSS, Operational Decision Management (ODM), and Streams using care and fraud management case studies
An essential component of any analytics platform is the ability to analyze large volumes of data at high velocity that results in real-time actionable steps. Often, intelligent processes require attention and focus on a few "out of range" observations midst a much larger field of "normal" observations. The real-time action requires selecting, focusing, and investigating these observations while dealing with data-in-motion. At the same time, we must understand historical trends and adapt to the changing definition of "out of range". This article describes the D4 (Discover, Detect, Decide, Drive) pattern, which permits high-speed analytics with rapid execution while under extreme data velocity and volume requirements. We then introduce two example use cases, identify architecture components, and discuss some integration design considerations common with the D4 pattern.
Articles 05 Sep 2014
Feed InfoSphere Streams applications with live data from databases
This tutorial shows you how to connect IBM InfoSphere Data Replication Change Data Capture (CDC) as a near real-time data source for InfoSphere Streams. Walk through several integration options for a ready-to-use and custom user exit, then explore the pros and cons of each. Downloadable example sources for the user exit are provided and can be customized to fit your requirements.
Articles 04 Sep 2014
Analyze game data from the Oculus Rift using Bluemix
An interactive user environment makes learning based on digital games attractive and efficient. And the data collected can help game developers improve the game's educational value. See how data collected from the Oculus Rift virtual reality device can be streamed to a Bluemix server for analysis. The BlueMix application stores all data from the Rift, such as the user's head movement, which can be analyzed to gain insight into the learning rate.
Also available in: Chinese   Russian   Japanese   Portuguese   Spanish  
Tutorial 04 Sep 2014
IBM Business Analytics Proven Practices: SPSS Modeler Premium Entity Analytics Technical Q&A
This document addresses some of the frequently asked questions regarding IBM SPSS Modeler Premium Entity Analytics (EA) ranging from what is EA through technical details on how to use the product.
Articles 03 Sep 2014
Integrate the BIRT Viewer with Java and Java EE web applications
Learn to integrate the Business Intelligence and Reporting Tools (BIRT) Report viewer with a custom Java and Java Platform, Enterprise Edition (Java EE) web application. Also, use the features of the BIRT report viewer application in custom web applications.
Also available in: Japanese  
Tutorial 02 Sep 2014
IBM Cognos Proven Practices: IBM Cognos TM1 FEEDERS
One of the more advanced concepts in the development of IBM Cognos TM1 cubes is the proper implementation of FEEDERS within TM1 rules. This document describes FEEDERS and how to use them effectively for improved performance when building IBM Cognos TM1 cubes.
Also available in: Russian   Spanish  
Articles 02 Sep 2014
IBM Business Analytics Proven Practices: How to implement element or cube based security for IBM Cognos TM1
Implementing element or cube based security for IBM Cognos TM1.
Articles 02 Sep 2014
Perform text analytics with Bluemix analytics services
This tutorial explains how to perform text analytics using the Analytics for Hadoop and Analytics Warehouse IBM Bluemix services. Most of the processes are performed on a client machine with Eclipse IDE and the BigInsights plugin installed. After extracting the desired text, we use R in dashDB to plot charts with the results.
Also available in: Chinese   Japanese  
Articles 21 Aug 2014
Build a data mining app using Java, Weka, and the dashDB service
The dashDB (formerly known as Analytics Warehouse and BLU Acceleration) service provides data warehousing and analytics as a service on IBM Bluemix. Developers can develop and deploy a heavy-duty analytic application using blazing-fast IBM BLU database technology offered in the cloud. Learn how to develop a data mining application using the Weka statistical analysis tool and leveraging the IBM BLU columnar database.
Also available in: Chinese   Japanese  
Articles 20 Aug 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Authentication and Single Sign-On
Implement seamless authentication between security systems and IBM Cognos BI, using these guidelines. This document contains important information about the technical concepts and backgrounds involved and the design of authentication and single sign-on (SSO) functionality in IBM Cognos BI. It also discusses setting expectations regarding supported vs unsupported environments and information that must be gathered for troubleshooting the IBM Cognos BI side of things. This document is intended for security architects and administrators designing authentication for a system includes Cognos BI.
Articles 19 Aug 2014
Agile migration of a single-node cluster from MapReduce Version 1 to YARN
YARN is a completely rewritten architecture of the processing platform in a Hadoop cluster. It makes computation much more scalable, efficient, and flexible compared to the classic MapReduce engine available in the first version of Hadoop. YARN has been considered production-ready since October 2013, and it is now used in production by many companies such as Yahoo!, Spotify, eBay, Xing, and Allegro, to name a few. Learn how to migrate a Hadoop cluster from MapReduce Version 1 (MRv1) to YARN in an agile way.
Also available in: Russian   Japanese  
Articles 12 Aug 2014
Introduction to YARN
Apache Hadoop is one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers. As a result, the 2.0 version offers several revolutionary features, including Yet Another Resource Negotiator (YARN), HDFS Federation, and a highly available NameNode, which make the Hadoop cluster much more efficient, powerful, and reliable. In this article, learn about the advantages YARN provides over the previous version of the distributed processing layer in Hadoop.
Also available in: Chinese   Russian   Japanese  
Articles 12 Aug 2014
Agile migration from MapReduce Version 1 to YARN for more robust YARN Hadoop clusters
The developerWorks tutorial "Agile migration of a single-node cluster from MapReduce Version 1 to YARN" guides you through the process of uninstalling MRv1 packages, installing YARN packages on a Hadoop cluster, starting necessary YARN daemons, and configuring mandatory configuration settings to ensure that a cluster runs Java MapReduce jobs successfully. This tutorial expands the description of the YARN Hadoop cluster to include three more features that make Hadoop clusters more robust and functional.
Also available in: Japanese  
Articles 12 Aug 2014
IBM Business Analytics Proven Practices: Tips and Techniques on working with IBM Cognos TM1 Web
Tips and Techniques on how to build models using IBM Cognos TM1 Web.
Articles 12 Aug 2014
A brief comparative perspective on SQL access for Hadoop
Although Hadoop is often thought of as the one-size-fits-all solution for big data processing problems, the project is limited in its ability to manage large-scale graph processing, stream processing, and scalable processing of structured data. Learn about Big SQL, a massively parallel processing SQL engine that is optimized for processing large-scale structured data. See how it compares to other systems that were recently introduced to improve the efficiency of the Hadoop framework for processing large-scale structured data.
Articles 12 Aug 2014
Set up and use federation in InfoSphere BigInsights Big SQL V3.0
Big SQL V3.0 supports federation to many data sources, including IBM DB2 for Linux, UNIX, and Windows, IBM PureData System for Analytics, IBM PureData System for Operational Analytics, Teradata, and Oracle. Federation enables users to send distributed requests to multiple data sources within a single SQL statement. Learn how to use the federation capabilities in Big SQL V3.0.
Articles 08 Aug 2014
IBM Business Analytics Proven Practices: SPSS Collaboration and Deployment Services - Top 5 Uses
The IBM SPSS Collaboration and Deployment Services product (a.k.a. C&DS) is a JEE based application that can be leveraged by other IBM SPSS products (Modeler, Statistics, Analytical Decision Management, etc.) to provide additional capabilities. This article will describe five ways that C&DS can be used to enhance your IBM predictive analytic solution.
Articles 06 Aug 2014
Processing and content analysis of various document types using MapReduce and InfoSphere BigInsights
Businesses often need to analyze large numbers of documents of various file types. Apache Tika is a free open source library that extracts text contents from a variety of document formats, such as Microsoft Word, RTF, and PDF. Learn how to run Tika in a MapReduce job within InfoSphere BigInsights to analyze a large set of binary documents in parallel. Explore how to optimize MapReduce for the analysis of a large number of smaller files. Learn to create a Jaql module that makes MapReduce technology available to non-Java programmers to run scalable MapReduce jobs to process, analyze, and convert data within Hadoop.
Articles 29 Jul 2014
Customer segmentation analytics with IBM SPSS
Learn how to segment customers by using IBM SPSS, IBM PureData System for Analytics powered by Netezza, and IBM DB2 for Linux, UNIX, and Windows. Merge data from disparate data sources, create a predictive model, and use it to segment customers taking into consideration multiple dimensions, such as age, income, education, etc.
Articles 22 Jul 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 2: Configuring domain-specific linguistic resources
This two-part series of articles demonstrates text mining with IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 of the series presents sample survey data about touchscreen devices and presents an analysis of the data that uses built-in linguistic resources of SPSS Text Analytics for Surveys. Part 2 starts from the conclusions that are drawn in Part 1. It explores more features of SPSS Text Analytics for Surveys with special focus on how to configure user-defined resources to examine domain-specific terminology. It describes the process of categorizing responses that are based on user-defined rules.
Articles 15 Jul 2014
Create a business intelligence and analytics service in Ruby with the dashDB service
The dashDB Service available in IBM Bluemix provides a powerful, easy-to-use, and agile platform for business intelligence and analytics. It is an enterprise-class managed service that is powered by the in-memory optimized, column-organized BLU Acceleration data warehouse technology. This article demonstrates how easy it is to incorporate the dashDB service into your application so that you can focus on your application.
Also available in: Chinese   Japanese   Spanish   Spanish  
Articles 10 Jul 2014
Deploy InfoSphere MDM Collaborative Edition onto a cluster, Part 1: Strategies for mixed clustered topologies on an application server
This two-part tutorial shows how to set up a typical IBM InfoSphere Master Data Management (MDM) Collaborative Edition V11 clustered environment. This first part describes how to deploy InfoSphere MDM Collaborative Edition V11 onto a cluster. Follow along step-by-step with detailed examples of several clustering strategies. Also learn about the required configuration to enable the IBM HTTP Server for caching and load balancing the cluster nodes.
Articles 10 Jul 2014
Create new nodes for IBM SPSS Modeler 16 using R
IBM SPSS Modeler, a powerful analytic tool, supports all phases of a data mining process, including data preparation, model building, deployment, and model maintenance. The IBM SPSS Modeler UI makes use of a visual data mining workbench that provides built-in data preparation, modeling, and output nodes that enable rapid development of the analytic assets.
Articles 08 Jul 2014
Hadoop in cloud deployments
Hadoop and the cloud seem to be ideal companions. They both contain flexible and distributed processing and storage, and they are married with a flexible instance system. They also enable you to grow and shrink your Hadoop cluster with your data and processing requirements. But this raises a variety of different management and scheduling issues. This article looks at all of these issues and more, as it describes the challenges and advantages of a cloud-based Hadoop deployment.
Also available in: Japanese  
Articles 03 Jul 2014
IBM Cognos Business Intelligence
Download IBM Cognos Business Intelligence Developer Edition V10.2.1. IBM Cognos BI Developer Edition enables you to learn a rich set of business intelligence capabilities without incurring any upfront costs. Access any and all data sources and use reporting and analysis to experiment with how to deliver relevant information how, when, and where it is needed. Broaden your skills and learn how to build BI applications based on enterprise-class SOA foundation. Expand your opportunities in BI and become an IBM partner.
Also available in: Chinese   Portuguese  
Trial Downloads 02 Jul 2014
Data warehouse augmentation, Part 4: Use big data technologies for initial data exploration
The goal of the data warehouse is to use the data available in the enterprise and limited external data to yield business insight. In traditional settings, the volume of data is limited to a few terabytes, and the data is primarily operational and transactional in nature. Unstructured data is not available for analysis because of the limitations of the existing data warehouse. Consider by using big data technologies to incrementally augment with the existing data warehouse to gain better business insight from data that was previously unavailable for analysis.
Also available in: Japanese  
Articles 01 Jul 2014
Develop a public transportation system simulator with Node.js and the dashDB service
This article shows you how to develop a simulator of public transportation system using cloud services such as IBM DevOps Services, IBM Bluemix, and dashDB (formerly known as Analytics Warehouse and BLU Acceleration). Developers with intermediate knowledge of JavaScript and those who want to get started with cloud services can learn how to develop a simple but useful application for data analysis and streams.
Also available in: Japanese  
Articles 01 Jul 2014
Do it yourself: Build a remote surveillance app using Bluemix, Cloudant, and Raspberry Pi
To build a simple surveillance system, create an IBM Bluemix app to send pictures taken by the camera module of a Raspberry Pi device to Cloudant and how to use Node.js to display them on a web page.
Also available in: Japanese   Spanish  
Articles 30 Jun 2014
Explore the eXtreme Scale-based caching service options in IBM PureApplication System
Caching services are a popular solution to address performance and scalability issues for cloud enterprise applications. Explore three caching options available with the IBM PureApplication System cloud system: One built-in, one based on WebSphere eXtreme Scale that uses a virtual system pattern on a cluster, and one based on eXtreme Scale that uses a VSP with a core OS image.
Also available in: Japanese  
Articles 28 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos BI 10.2.1.x JMeter Stability Package
This stability test, designed for IBM Cognos 10.2.1.x, demonstrates how to use standard JMeter to stability test an IBM Cognos BI system of that version. No knowledge prerequisites required.
Articles 26 Jun 2014
Data warehouse augmentation, Part 3: Use big data technology for an active archive
Use big data technology to set up an active archive for the data from the enterprise data warehouse. Learn how a big data solution based on Hadoop is an ideal platform to build an active archive for historical data in a data warehouse. This article covers the architecture, tools, and techniques that you can use to design an active archive.
Also available in: Japanese  
Articles 24 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes Hardware Sizing Recommendations
This document discusses some of the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for 10.2.1 FP1 and 10.2.1.1 IF3.
Articles 24 Jun 2014
IBM Business Analytics Proven Practices: Dynamic Cubes - Near Real Time and Cross Database Queries
This document discusses some of the the sizing variables involved with Dynamic Cubes and provides some high level estimates to help guide the user in selecting the proper resources for their environment. This document is intended for Cognos BI 10.2.1 and 10.2.1 FP1.
Articles 20 Jun 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 XMI Extractor
How to use the IBM Cognos TM1 XMI Extractor tool to extract metadata information from TM1 in the XML Metadata Interchange (XMI) format for consumption by IBM InfoSphere Information Server.
Articles 20 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 2: Use the InfoSphere BigInsights connector to perform analysis using Jaql and SQL
Learn to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results using SQL.
Also available in: Russian  
Articles 17 Jun 2014
Chain and link predefined sequence applications using InfoSphere BigInsights
By chaining and linking sequences of code, software developers can now create custom applications using InfoSphere BigInsights, organize data sources using BigSheets, enhance Apache Hadoop indexing with BigIndex, and even schedule automated MapReduce jobs using the InfoSphere BigInsights scheduler. Discover how your organization can gain value-added productivity without having to purchase additional software.
Articles 17 Jun 2014
Integrate DB2 for z/OS with InfoSphere BigInsights, Part 1: Set up the InfoSphere BigInsights connector for DB2 for z/OS
Learn how to set up integration between IBM DB2 11 for z/OS and IBM InfoSphere BigInsights. Enable access to structured and non-structured data that is stored in the Hadoop Distributed File System and send the results back to DB2, where the data can be integrated with online transactional data. Using a scenario that is common to all DB2 for z/OS users, learn to create a big data solution that uses the user-defined functions JAQL_SUBMIT and HDFS_READ to run jobs on InfoSphere BigInsights and retrieve the results with SQL.
Also available in: Russian  
Articles 17 Jun 2014
IBM Business Analytics Proven Practices: Entity Analytics Performance Guide for DB2
DB2 tuning guidance around SPSS Modeler Premium Entity Analytics.
Articles 11 Jun 2014
Data warehouse augmentation, Part 2: Use big data technologies as a landing zone for source data
Use a Hadoop environment as the landing zone to pull in data from various sources, process it, and transfer the processed data to the existing data warehouse or other repositories. Explore scenarios of different ways to implement a landing zone. Learn about the architecture of the zone and the tools and techniques for integrating it with various environments.
Also available in: Japanese  
Articles 10 Jun 2014
IBM Business Analytics Proven Practices: Configure Cube Designer for accessing an SSL enabled BI Gateway
An explanation of the steps required to configure IBM Cognos BI Cube Designer for accessing a Secure Sockets Layer (SSL) enabled Cognos BI Gateway.
Also available in: Russian  
Articles 05 Jun 2014
Implementing security within PureData System for Hadoop
Learn about the types of security features integrated with the IBM PureData for Hadoop appliance. Configure and use different authentication methods for users and groups, the credentials store, and session tokens. Also learn to implement reverse proxy and Big SQL security.
Also available in: Russian  
Articles 04 Jun 2014
IBM Business Analytics Proven Practices: Design Measures of Distribution Skewness and Kurtosis in IBM Cognos Report Studio
This document will have all the steps to dynamically calculate kurtosis and skewness of a distribution (or data set) that report authors can use in Report Studio along with charts as part of descriptive statistics.
Also available in: Russian  
Articles 04 Jun 2014
Survey text mining with IBM SPSS Text Analytics for Surveys, Part 1: Exploring sample survey data
This two-part series of articles steps through the process of text mining by using IBM SPSS Text Analytics for Surveys, version 4.0.1. Part 1 describes the objectives of survey text mining and presents sample data of a survey for analysis. In a tour of survey analytics, explore the capabilities of SPSS Text Analytics for Surveys in a step-by-step manner. Every step shows you a bit of information about your sample data. Learn how to use SPSS Text Analytics for Surveys to completely decipher survey data.
Articles 03 Jun 2014
IBM Business Analytics Proven Practices: Time Dimension in IBM Cognos TM1 Performance Modeler and IBM Cognos Insight
The article will explain how time dimensions work in IBM Cognos Insight and IBM Cognos TM1 Performance Modeler and describe how a date time dimension can be created from scratch as well as imported from an existing data source. It will also demonstrate how the time roll-up feature can be used to create simple analyses.
Articles 29 May 2014
Data warehouse augmentation, Part 1: Big data and data warehouse augmentation
Current data warehouse tools and technologies cannot handle the load that new data sources and analytic workloads bring to an enterprise data warehouse. To augment existing data warehouse solutions, organizations must implement big data technology within the context of the traditional data warehouse. This series, intended for data warehouse architects and information architects who work with traditional data warehouses, describes how to combine traditional and big data technologies to maximize and augment the effectiveness of existing data warehouses.
Also available in: Japanese   Spanish  
Articles 27 May 2014
Pig versus Hive: Benchmarking high level query languages
This article presents benchmarking results of two benchmarking sets applied to Hive and Pig, running on Hadoop 0.14.1. In the first benchmarking study, the Apache Pig benchmark (Apache Foundation, 11/07/07) was replicated. In the second study, results were obtained by applying TPC-H benchmarks. (TPC-H is a decision support benchmark published by the Transaction Processing Performance Council, an organization founded to define global database benchmarks). The two studies showed conflicting results.
Articles 27 May 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 - Multilingual Cubes Using Cube Views
This document will demonstrate how to utilize aliases, subsets, and TM1 Cube Views to display TM1 cubes in a different language.
Articles 26 May 2014
IBM Business Analytics Proven Practices: IBM Cognos BI Report Studio - Measure Based Value Prompt
Create a value prompt on a measure data item in an IBM Cognos BI Report Studio report using a relational package and prevent the aggregation of those values in the prompt selection, using the steps described in this article.
Articles 15 May 2014
IBM Business Analytics Proven Practices: Steps to Design a Histogram in IBM Cognos Report Studio
A description of the design and development of a histogram chart, which is a statistical process control chart. Report authors can use the steps in this article as a template for designing their customized histogram.
Articles 13 May 2014
Real-time data analytics using IBM Predictive Maintenance and Quality
For capital-intensive assets-based industries such as oil and gas exploration and production, you need access to real-time production figures and accurate predictions of future production. Learn how to use IBM Predictive Maintenance and Quality to load production data in real time, aggregate data, predict production, and populate the data store to refresh dashboards.
Also available in: Spanish  
Articles 13 May 2014
Use SPSS Statistics direct marketing analysis to gain insight
Learn how to use the RFM analysis process of the Direct Marketing module of IBM SPSS Statistics. Using this process, nontechnical users can analyze their customer data.
Also available in: Chinese   Russian   Spanish  
Articles 12 May 2014
Improve performance of Big SQL in InfoSphere BigInsights with memory-related parameters
Learn how to configure memory-related parameters for Big SQL to improve the performance of the Big SQL server. Take advantage of automatic configuration for certain parameters.
Also available in: Russian  
Articles 06 May 2014
IBM Business Analytics Proven Practices: Configuring Integrated Security for Cognos TM1 Web 10.2
How to set up integrated Windows Authentication for TM1 Web which now is a Java application in Cognos TM1 10.2 release. This is a supplement to the current product documentation.
Also available in: Russian  
Articles 05 May 2014
IBM Business Analytics Proven Practices: Hide and Show Fields without SQL Projection within IBM Cognos 10 Report Studio
A technique which hides columns based on prompt values. Using this approach, the hidden columns are not projected in the underlying database query.
Also available in: Russian  
Articles 02 May 2014
Predict user requests for web content using R and InfoSphere Streams
Learn how to analyze web server logs to model how users navigate a website and predict what content will be requested next. This article describes using an extensible Markov model to cluster web pages on a website and predict where the user will navigate next. The solution uses InfoSphere Streams and R to continuously issue predictions based on the model.
Also available in: Russian  
Articles 29 Apr 2014
Monitor and adjust resource allocation in a PureData for Analytics system using IBM Netezza Performance Portal 2.1
This article explains how new features of the IBM Netezza Performance Portal 2.1 and PureData for Analytics 7.1 make it possible to monitor and adjust resource utilization of the data warehouse appliance. Learn how to use the new view in Netezza Performance Portal for managing scheduler rules to exert more direct control over the scheduling and execution of queries.
Also available in: Russian  
Articles 29 Apr 2014
Recognize physical activity on mobile phones with IBM Worklight and IBM SPSS Modeler
Recognize mobile activity with a service developed with IBM Worklight and IBM SPSS Modeler in this high-level overview. See how to detect and track the physical activity of mobile phone users. The authors share techniques to clean training data, select features, choose the best classification algorithm, and validate the model.
Also available in: Russian  
Articles 29 Apr 2014
Use InfoSphere Streams as a sensory interface to Watson
Watson is a powerful technology for solutions involving natural language. However, some data is not in the form of text. This article describes how to use InfoSphere Streams to enable Watson to use sensor data.
Also available in: Chinese   Russian  
Articles 22 Apr 2014
Leverage Python, SciKit, and text classification for behavioral profiling
Learn how to build a behavioral profile model for customers based on text attributes of previously purchased product descriptions. With SciKit, a powerful Python-based machine learning package for model construction and evaluation, learn how to build and apply a model to simulated customer product purchase histories. In a sample scenario, construct a model that assigns music-listener profiles to individual customers, based on the specific products each customer purchases and the corresponding textual product descriptions.
Also available in: Russian   Japanese  
Articles 17 Apr 2014
IBM Business Analytics Proven Practices: Introduction to Python Scripting in IBM SPSS Modeler
This document provides an introduction to Python scripting in IBM SPSS Modeler.
Also available in: Russian  
Articles 16 Apr 2014
Harvest machine data using Hadoop and Hive
Machine data can come in many different formats and quantities. Weather sensors, fitness trackers, and even air-conditioning units produce massive amounts of data, which begs for a big data solution. But how do you decide what data is important, and how do you determine what proportion of that information is valid, worth including in reports, or valuable in detecting alert situations? This article covers some of the challenges and solutions for supporting the consumption of massive machine data sets that use big data technology and Hadoop.
Also available in: Chinese   Russian   Japanese  
Articles 08 Apr 2014
IBM Business Analytics Proven Practices: Bulk Loading Via External Loader From IBM SPSS Modeler: Configuration Best Practices and Troubleshooting
Best practice advice for system and database administrators when configuring the bulk loading via external loader functionality of IBM SPSS Modeler.
Also available in: Russian  
Articles 27 Mar 2014
Use change data capture technology in InfoSphere Data Replication with InfoSphere BigInsights
Learn how to capture the changes made on source transactional databases such as IBM DB2 and Oracle, and replicate them to the Apache Hadoop Distributed File System in IBM InfoSphere BigInsights. Use change data capture replication technology in InfoSphere Data Replication 10.2 for InfoSphere DataStage with InfoSphere BigInsights support.
Articles 25 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Top
IBM Cognos TM1 Top is a command window based application that runs on a Microsoft Windows platform. It will dynamically display various pieces of information regarding operations that TM1 Server is performing.
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Audit Log Helper
The IBM Cognos TM1 Audit Log Helper is designed to get information out of the IBM Cognos TM1 audit log.performance test or to view and analyze existing TM1Top log files.
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter
The IBM Cognos TM1 Server Monitor Plug-in for Apache JMeter is a plugin for the Apache JMeter performance testing tool. It allows its user to monitor TM1 server activity in real-time while running an Apache JMeter performance test or to view and analyze existing TM1Top log files.
Also available in: Russian  
Articles 21 Mar 2014
IBM Business Analytics Proven Practices: IBM Cognos Cube Designer - Model Aggregate Cubes Workshop
How to prepare and model aggregate tables in IBM Cognos Cube Designer as well as show step-by step instructions on the technique using the samples shipped with the product.
Articles 20 Mar 2014
Mine spatial data with space-time-boxes in IBM SPSS Modeler and visualize the data with R
Combine traditional data, unstructured data, and spatial data from many different types of data sources and use space-time-boxes to mine the data for insight. Add R visualization to make it easier to build accurate, predictive models quickly and intuitively, without programming.
Also available in: Russian  
Articles 18 Mar 2014
Data visualization with R: How to get and show meaningful metrics for a scrum team
Data visualizations are universally understood and are an ideal way to communicate operational metrics for an agile team. Chief among those metrics are performance indicators of quality such as total defects. It's critical for team members and stakeholders to understand the nuances and context of these metrics. A popular way to both analyze and visualize nuances in data is to use the R language. This article demonstrates how to use R to ingest and parse quality metrics. Learn to craft meaningful depictions of how metrics fluctuate over time and how they can reveal issues that affect the customer experience. An example shows how R can help you create data visualizations that share insights about your metrics.
Also available in: Russian  
Articles 18 Mar 2014
IBM Business Analytics Proven Practices: Auto Cascading Multi and Single Value Prompts without Page Refresh in IBM Cognos 10 Report Studio
This document provides a technique to auto-cascade single or multi select value prompts without refreshing the page, or re-running the prompt queries.
Also available in: Russian  
Articles 17 Mar 2014
Run DNS forensics with QRadar's big data security extension
With the new big data extension in QRadar, you can process a large volume of unstructured data as illustrated in this demo. The author performs a version of DNS forensics he takes a list of all the domains visited by all employees. He then correlates it with the IBM Security X-Force IP Reputation Intelligence Feed and registrar information for each of those domains from whoisxmlapi.com. From this analysis, he produces three reference sets that are fed into QRadar for creating or modifying existing rules.
Articles 11 Mar 2014
Set up mixed-workload data analytics
Running analytics jobs on mixed workloads across systems using integrated workflow management can be a challenge. New functions in InfoSphere Information Server DataStage 9.1 allow you to use the power of the Hadoop Oozie workflow scheduler. In this article, learn about setting up mixed-workflow data analytics using the InfoSphere Information Server DataStage 9.1 job sequencer and an Oozie workflow stage. Follow this step-by-step guide to setting up and using the Oozie Workflow Activity stage.
Also available in: Russian  
Articles 11 Mar 2014
Practical application of the Oozie workflow management engine for Hadoop
Apache Oozie, one of the pivotal components of the Apache Hadoop ecosystem, enables developers to schedule recurring jobs for email notification or recurring jobs written in various programming languages such as Java, UNIX Shell, Apache Hive, Apache Pig, and Apache Sqoop. The article describes some of the practical applications of the framework that address certain business scenarios. This article introduces the topic to solution architects, technical architects, consultants, data scientists, technical leads, and developers who are working on or who are interested in big data technology.
Also available in: Russian   Japanese  
Articles 11 Mar 2014
Visualize in-browser performance data with R and JavaScript using the W3C performance object
When looking at web performance metrics, the ideal numbers to focus on are real user metrics harvested from your own users. The most popular method is to consume your machine data with a tool such as Splunk, which enables you to analyze and visualize your access and error logs. With these tools you can glean some aspects of performance data, such as file I/O times for reading assets and access times of API requests. However, you are still left to extrapolate client-side performance data, put beacon calls at certain high-level checkpoints, or just run synthetic testing with tools like WebPagetest. Now, the W3C has standardized an API that makes it possible to capture and report out in-browser performance data by using the Performance object, an object native to the Windows object in all modern browsers.
Also available in: Russian   Spanish  
Articles 11 Mar 2014

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